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IEEE

The 18th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS-IoT)

Location: Los Angeles , United States

Submission deadline: 2/7/2022

Conference dates: 5/30/2022 - 6/1/2022

Research H-index
13

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 203 38 74 8
Computer Science 275 83 163 12

Call for Papers

Topics of interest include, but are not limited to, the following:

Artificial Intelligence for IoT
Machine learning and data mining for IoT and sensor systems
Smart healthcare to combat epidemics (including COVID-19)
Edge and fog computing: distributed computing models from sensor to cloud
Energy harvesting models and optimization
Machine intelligence in distributed sensor systems and real time analytics
Communication and networking primitives / protocols for wireless embedded systems / cross-technology communication schemes
Autonomy: closing the loop between sensing and actuation
Time and location management
Task allocation, reprogramming, and reconfiguration
Robustness, resilience, and dependability
Security and privacy issues
Approaches, tools, and experience of deployment and operation
Performance analysis: complexity, correctness, scalability
Mobile and human-centered sensing
Interoperability, heterogeneity and scalability
Social sensing and crowd sensing and techniques, applications, and systems
Complex systems comprising wearable, robotic and/or fixed sensor systems
Novel and compelling applications
IoT systems for emerging and developing economies
Green and environmentally-friendly IoT (low-power, harvesting, energy management)
Design and implementation of real-world applications and systems
Measurement studies and deployment experiences

Overview

This page presents a comprehensive ranking of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—a trusted and leading online resource for science research across all major disciplines since 2014. The ranking is designed to provide valuable insights into the academic influence and impact of conferences by utilizing a proprietary bibliometric score developed by Research.com. Each conference's position is determined based on a unique combination of factors: the estimated h-index and the number of leading scientists who have contributed to the conference over the preceding three years.

The Impact Score values displayed were collected as of 2024-11-27, ensuring the data's timeliness and relevance. To achieve a ranking of the highest possible credibility and depth, the evaluation process involved a thorough analysis of more than 2,742 conferences. This selection was made after a detailed and rigorous examination of over 148,739 scientific documents, published by 13,184 leading and widely-respected scientists in the dynamic area of Computer Science during the past three years.

The methodology behind this ranking reflects a commitment to rigorous academic standards and analytical depth, relying on large-scale data aggregation and expert review. For those interested in a more detailed explanation of the evaluation and computation process, please refer to our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at Distributed Computing in Sensor Systems (based on the number of publications) are:

  • Thiemo Voigt (15 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Tarek Abdelzaher (12 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Amotz Bar-Noy (12 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Sotiris Nikoletseas (10 papers) published 1 paper at the last edition,
  • José D. P. Rolim (8 papers) published 2 papers at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at Distributed Computing in Sensor Systems (based on the number of publications) are:

  • ETH Zurich (15 papers) absent at the last edition,
  • University of Illinois at Urbana–Champaign (13 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • French Institute for Research in Computer Science and Automation (12 papers) published 2 papers at the last edition,
  • Research Academic Computer Technology Institute (11 papers) published 1 paper at the last edition,
  • University of Southern California (11 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2017 edition, 5.88% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.62% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.12% of all publications and 43.75% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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